FemTech, a growing field focusing on women’s health through technology, has gained popularity with applications that track menstrual cycles, fertility and overall wellness. Despite their benefits, FemTech apps face widespread concerns regarding data privacy, potentially hindering their adoption and long-term use. This study aims to explore privcy-related barriers to FemTech adoption by analyzing privacy policies and user reviews, to identify key concerns.
An in-depth analysis of the privacy policies of popular FemTech apps and an examination of user-generated reviews filtered for privacy-related keywords were conducted to identify fallacies and user pain points.
Results reveal issues related to data-sharing practices, location data collection, data retention, the lack of opt-in policies and lack of clarity or total absence of privacy policies, all contributing to privacy concerns that deter users.
This study provides insights that can guide app developers, policymakers and regulators in creating privacy-compliant solutions to enhance the trust, adoption and sustained use of FemTech apps, ultimately benefiting women’s health.
